SM4RTENANCE
Trusted Data Sharing for Manufacturing Equipment Industry
Years: October 2023 - September 2026SM4RTENANCE aims to connects key ecosystems, standards, experimentation facilities and data space development building blocks with the aim to secure growth and economies of scale for future multi-stakeholder predictive maintenance and supply chain data spaces across their full lifecycle, adopting common European data space principle, technical infrastructures, vocabularies, data models and business agreements.
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RELATED PROJECTS
Mai Troppo Tardi
To practice Social Innovation
Period: May 2020 – Oct 2025“Mai Troppo Tardi” (“Never too late”) is a social innovation project, aimed to develop, consolidate and extend innovative practices to meet the needs of two population segments: young people under 30, and on the other hand, senior people over 65 with difficulty in accessing digital services. These two groups’ combined “weaknesses” can transform into strengths through a skill transfer programme based on intergenerational exchange. Funded by the Italian Presidency of the Council of Ministers and then by Fondazione Social Venture Giordano dell’Amore.
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BIG DIVE
Hacking Development, Visualization and Data Science
Years: 2012 – 2020Intensive training program aimed at developing skilled professionals in the management and utilization of BIG DATA. Participants delve into topics such as Data Science, Machine and Deep Learning, Data Visualization, and Data Engineering through lectures and real project development. A program developed in collaboration with ISI, TODO, and Axant.
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CorDATA
CivicTech and Data Science for the International Cooperation
Years: 2019 – 2021A course designed for organizations engaged in International Cooperation seeking to explore how data science and civic technologies can generate social impact and competitive advantage in developing projects within the Third Sector. Project supported by Fondazione Cariplo and Fondazione Compagnia di San Paolo, realized by TOP-IX, ISI, and Moxoff, in collaboration with HeartInData.
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